Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS by Glenn Gamst - PDF free download eBook

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  • Published: Nov 04, 2015
  • Reviews: 321

Brief introduction:

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single...

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Details of Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS

ISBN
9780521874816
Publication date
Age range
18+ Years
Book language
EN
Pages
594
Format
PDF, EPUB, FB3, TXT
Quality
Normal quality OCR
Dimensions
7.20 (w) x 10.00 (h) x 1.50 (d)
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Some brief overview of this book

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for progressive undergraduates and graduate students in the behavioral and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new “click and shoot” SAS Enterprise Guide interface.

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A few words about book author

Glenn Gamst is Professor and Chair of the Psychology Department at the University of La Verne, where he teaches the doctoral advanced statistics sequence. He received his PhD from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables such as client-therapist ethnic match, client acculturation status and ethnic identity, and therapist cultural competence on clinical outcomes. Additional research interests focus on conversatted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new “click and shoot” SAS Enterprise Guide interface.

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